Available with: Copilot Studio and Azure AI Foundry
Sales scenario: Lead prediction agent
Scenario
Using AI Agents to build a lead prediction agent
Leverage behavioral and CRM data to score leads, predict conversion probabilities, and optimize follow-up prioritization.
Scores leads using behavioral, CRM, and external data.

Copilot Studio Agent
Enhanced conversion predictions using historic patterns allowing businesses to focus their efforts on high-potential leads, increasing the overall conversion rate.

Copilot Studio Agent
Monitors and updates lead data in real-time, capturing new information to keep customer profiles accurate and up to date.

Copilot Studio Agent
Reassesses lead priorities based on fresh data, ensuring follow-up actions are timely, relevant, and optimized for maximum engagement.

Copilot Studio Agent
Suggests optimal routing path like assigning a senior sales rep who is an SME on a niche skill that will be required for the lead.

Copilot Studio Agent
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
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